Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
1997-08-06
Nonlinear Sciences
Adaptation and Self-Organizing Systems
LaTeX source, 16 p., please email hwael or stephens for figures
Scientific paper
A theoretical and experimental analysis is made of the effects of self-adaptation in a simple evolving system. Specifically, we consider the effects of coding the mutation and crossover probabilities of a genetic algorithm evolving in certain model fitness landscapes. The resultant genotype-phenotype mapping is degenerate, there being no direct selective advantage for one probability versus another. We show that the action of mutation and crossover breaks this degeneracy leading to an induced symmetry breaking among the genotypic synonyms. We demonstrate that this induced symmetry breaking allows the system to self-adapt in a time dependent environment.
García Ignacio
Mora Jose
Stephens Carnella
Waelbroeck Henri
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